CCompStak provides a digital platform that delivers comprehensive commercial real estate data, including lease, sale, loan, and property history. The data comes from crowdsourcing and proprietary verification, ensuring accuracy and reliability. Unlike providers that share anonymized or averaged figures, CompStak focuses on granular, deal-level details to support informed decision-making. Customers access a unified database through a subscription model, enabling them to search, compare, and analyze specific transaction data. The platform’s differentiator is its commitment to hard-to-find, granular data that is actively verified rather than aggregated. The goal is to equip appraisers, brokers, investors, and other CRE professionals with precise information to negotiate better terms and make smarter investment choices.
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Industries
Company Size
51-200
Company Stage
Series C
Total Funding
$101.3M
Headquarters
New York City, New York
Founded
2011
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Total Funding
$101.3M
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Funded Over
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CompStak launches Agent Connect, an MCP server for verified commercial real estate data. September 29, 2026 Agent Connect (MCP) is available with CompStak One Connect, a new tier that also adds Rent Predictor to the CompStak One platform. [New York, NY, September 29, 2026] - CompStak, the leading source of commercial real estate lease comps, sale comps, property data, and analytics, today announced the launch of Agent Connect, an MCP server that lets teams query CompStak's verified data from inside the AI tools they already use, like Claude, ChatGPT, Copilot, and Gemini. Agent Connect is available through CompStak One Connect, a new offering that pairs the CompStak One platform with Agent Connect and Rent Predictor. CRE teams have spent the past few years building internal tools and AI workflows on top of their own data. Bringing a verified external dataset into those workflows required a complex and time-consuming integration project that engineering teams often do not have time to build. Agent Connect runs on Model Context Protocol, an open standard for connecting AI assistants to outside data sources. With it, an analyst can ask for a comp set in the assistant already open on their desktop and get an answer drawn from CompStak's verified database. "I use AI agents every day, and so do a growing share of our customers. CRE work is moving out of standalone platforms and into agents and custom workflows. At CompStak, we're building for the future, not pretending it isn't happening. Agent Connect puts CompStak's verified comps, plus our Market Insights, Property Insights, and Space Insights APIs, inside the tools our customers already have open. An analyst can go from a question to a sourced comp set or a first-draft investment memo in one session, with no integration project and no data export. The end result provides not only a magical experience for users, but a deliverable they can stand behind," said Michael Mandel, Co-Founder and CEO of CompStak. How Agent Connect Works. * Ask in plain language: Teams query comps, aggregations, and market statistics without writing a query or exporting a file. * Works alongside internal data: CompStak results arrive in the same session as the customer's internal models and documents. * Works with existing AI assistants: Agent Connect connects to Claude, ChatGPT, Copilot, Gemini, and internally built agents. CRE teams can now direct their AI agents with tasks like: * Compare average office net effective rents since 2020 in Hudson Yards, FiDi, and Midtown South. * Benchmark my portfolio's lease rollover risk against the LA industrial market overall in 2027. * Price my portfolio's upcoming vacancies. * Build me an investment memo, with complete lease and sale comps, mark to market analysis, and risk analysis. Compare this potential purchase to recent sales and properties in the competitive set. Also new in CompStak One Connect. Rent Predictor produces Estimated Starting Rent Today, a modeled starting rent for spaces with no recent comp, powered by CompStak's proprietary AI and trained on millions of verified lease comps. Most space in a given market has not traded recently, and teams have either estimated it by hand or left it out of the model. Rent Predictor gives them a number for that space. Built on CompStak One. One Connect includes everything in the CompStak One platform: * Verified lease, sale, property, and loan data across 105 US markets * Analytics for market and submarket trends, including net effective rent and lease term * Portfolios for benchmarking assets against custom competitive sets * CompScout for natural-language comp search * AI Market Summary for on-demand market narratives Every record reaching those tools comes through CompStak's verification process: a network of more than 40,000 brokers, appraisers, and researchers submitting comps, machine learning and statistical anomaly detection flagging figures outside expected ranges, and in-house research analysts reviewing transactions and adding detail. Proprietary CRE Ontology and Entity Resolution connect properties, owners, and transactions into a single source of truth. About compstak. CompStak is the leading source of commercial real estate lease comps, sale comps, property data, and analytics. Comps are crowdsourced from a network of more than 40,000 brokers, appraisers, and researchers. Every comp is verified before it is published: first by machine learning and statistical anomaly detection, then by a team of CRE data analysts. Lenders, owners, investors, brokers, and appraisers use that data to underwrite and value assets across 105 US markets, working within the CompStak platform, in their own models, or in the AI tools they already use. To learn more about CompStak, visit compstak.com. Media inquiries: Brigette Palombo
Columbia CompStak (CCRI) Rent Index national update: May 15, 2026. May 15, 2026 Commercial real estate rent data is only as useful as the methodology behind it. That's why CompStak partnered with Columbia Business School faculty to build the Columbia CompStak Rent Index (CCRI), the first quality-adjusted CRE rent index tracking constant-quality net effective rents across U.S. office, retail, and industrial markets, both nationally and across major MSAs. Unlike traditional rent benchmarks that track asking rents or simple averages, the CCRI controls for quality mix and incorporates concessions, giving investors, lenders, occupiers, and capital allocators a cleaner read on where rents are actually moving. Each month, CompStak publishes a national update powered by its database of verified lease transactions, one of the largest and most comprehensive in commercial real estate. Below is a breakdown of what the latest data shows across all three property sectors at the national level, as of May 15, 2026. Constant-Quality net effective rent indices. Nationally, office effective rent growth has been rebounding over the past six months. National retail rents are down in March but roughly flat over the past year. Industrial rents are down over the past six months. The relative performance of office and industrial is a reversal of fortunes compared to the prior five-year period. Most recent observation: March 2026. Manhattan Office NER growth is up 8.7% over the year to 2025.Q4. NER rent growth was down 1.17% in 2025.Q4. Its next update on June 15, 2026 will include the first estimates for 2026 Q1. Preliminary analysis shows Manhattan office rent growth will be strong. Office: Charlotte (+31.6%), Baltimore (+22.2%), and Austin (+18.5%) lead office rent growth over the year to 2025.Q4, while coastal markets show divergence. The New York MSA posts healthy gains (+12.1%) but San Francisco (−5.2%), Seattle (−6.5%), and Miami (−8.2%) continue to struggle. The national Office index registered a +4.54% over the same period, with strong performers offsetting weakness in coastal MSAs. Retail: Atlanta stands out with +84.1% rent growth on relatively thin volume, accompanied by other top performers like Detroit (+36.4%) and Los Angeles (+23.2%). Houston (−20.1%), Boston (−8.8%), and Las Vegas (−7.4%) show the biggest declines. The national Retail index registered +4.71% NER growth over the same period. Industrial: Industrial growth is more compressed across markets compared to Office and Retail, with Boston leading with +11% rent growth and Charlotte declining the most at −17.6%. The national Industrial index posted −0.75% over the year to 2025.Q4, showing that, in aggregate, the industrial real estate boom is over.
KBRA Analytics' KCP integrates with CompStak to deliver credit insight to CRE market participants. KBRA Analytics, the data and analytics division of KBRA, is pleased to announce a new product integration between its KBRA Credit Profile (KCP) platform and CompStak, a leading provider of commercial real estate (CRE) lease and sales data. KCP is KBRA Analytics' premier platform for CMBS data, loan performance, and market insights. The integration allows CompStak users to view KCP credit outlook summaries and analytic commentary directly within CompStak, offering enhanced visibility into loan and property-level credit performance. All CompStak users will now see KCP teaser information - including credit outlooks, payment status, and select commentary - on applicable property pages. Mutual subscribers with access to both KCP and CompStak will be able to click through to the full KCP platform for in-depth credit analysis, valuation, and collateral insights. Non-KCP subscribers can contact the KCP Business Development team for trial access. "This collaboration with CompStak aligns perfectly with KBRA Analytics' mission to enhance market transparency and efficiency," said Steve Kuritz, Senior Managing Director at KBRA Analytics. "Integrating KCP data directly into CompStak's property pages enables CRE professionals to quickly connect credit performance insights with market-level intelligence." "We're excited to provide our users with direct access to KCP's analytic insights, giving them a more complete understanding of property and loan performance," said Michael Mandel, Co-Founder and CEO of CompStak. "This integration delivers a streamlined experience that connects CompStak's world-class commercial real estate data with KBRA Analytics' credit intelligence." The collaboration reflects the growing convergence of credit analytics and market intelligence in the CRE sector. By combining CompStak's verified lease and sales comparables with KCP's credit performance data, the integration offers a more holistic view of asset health and underlying property and loan dynamics. The new functionality is available to all CompStak users starting today. About CompStak CompStak is the leading provider of commercial real estate lease, sale, and property data. Sourced directly from a nationwide network of verified CRE professionals, CompStak delivers trusted, granular market information that powers decision-making across the real estate industry. About KBRA Analytics KBRA Analytics, LLC (KBRA Analytics) is its premier product platform for high quality data and advanced analytics. Its seasoned teams of industry specialists across each product provide unparalleled insight creating a foundation of deeper analysis and rapid discovery for users. KBRA Analytics is an affiliate of Kroll Bond Rating Agency, LLC (KBRA). KBRA is a full-service credit rating agency registered in the U.S., designated to provide structured finance ratings in Canada, and with credit rating affiliates registered in the EU and UK. CompStak unveils CompStak one - A suite to unify CRE insights. CompStak launches portfolios: transforming CRE strategy with real-time data insights.
New York, NY - [October 8, 2025] - CompStak, the leading platform of commercial real estate data and analytics, today announced the launch of Strategic Advisory, a new offering designed to help institutional owners, operators, and capital markets professionals transform data into smarter, faster, and more profitable decisions.
NEW YORK, March 17, 2025 (GLOBE NEWSWIRE) - CompStak, the leading platform of commercial real estate (CRE) data and analytics, today announced the launch of Portfolios, a powerful new product that enables CRE professionals to aggregate, analyze, and compare property data.
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Industries
Company Size
51-200
Company Stage
Series C
Total Funding
$101.3M
Headquarters
New York City, New York
Founded
2011
Find jobs on Simplify and start your career today
Don't see your dream role? Check out thousands of other roles on Simplify.Browse all jobs